Sampling Projects in GitHub for MSR Studies 来自 掌桥科研 喜欢 0 阅读量: 14 作者:O Dabic,E Aghajani,G Bavota 摘要: Almost every Mining Software Repositories (MSR) study requires, as first step, the selection of the subject software repositories. These repositories are usually collected from ...
This appears wrong, as the density shouldn't have any mass around 1/2 when the two parameters approach zero. Versions PyTorch version: 2.3.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Fedora Linux 39 (Thirty Nine) (x86_64) GCC...
pytorchmergebotclosed this ascompletedin1716709Mar 15, 2023 Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment Labels module: cudaRelated to torch.cuda, and CUDA support in generalmodule: halfRelated to float16 half-precision floatsmodule: nnRelated...
The logprob in vLLM is not the raw probability of the standard LLM loss but is influenced by the sampling parameters. On the other hand, OpenAI returns the raw probability, meaning that no matter how the sampling parameters are set, the logprob of the next token under the same context re...
msr-vtt-v1.part3.rar (GoogleDrive) SHA-256: debbd0e535e77d9927ffb375299c08990519e22ba7dac542b464b70d440ef515 Data and Models for both MSVD and MSR-VTT data.zip SHA-256: fadd721eaa0f13aff7c3505e4784a003514c33ffa5a934a9dcf13955285df11f ECO Source Code: GitHub. ECO_full_kinetics...
sorry the above run was w/ dynamic not set. I have updated thescript on githubto use dynamic=True (previously i had just added dynamic=True locally in my env). However it still fails w/ dynamic=True. Any help appreciated, thanks!
Written in Python 2.7.6 and NumPy 1.9.1. Evaluation Accuracy (%) on the word analogy task compared against the original C implementation (in parentheses). Trained on a preprocessed version of the first 108bytes of the English Wikipedia dump on March 3, 2006 (http://mattmahoney.net/dc/text...